For the fastest local setup of this model, Docker is the best choice.
Follow the guidelines below to continue.
The client handles the setup, pulling gigabytes of data automatically.
During setup, the script automatically determines and applies the best settings tailored to your machine.
The Qwen3.6-35B-A3B is a large language model featuring 35 billion parameters and an advanced A3B architecture designed for superior reasoning and instruction following. It supports an extended context window of 128K tokens, enabling the model to understand and generate long‑form content with high coherence. Trained on a diverse corpus of web‑scale text and curated academic resources, the model demonstrates state‑of‑the‑art performance across a wide range of benchmarks, from language understanding to code generation. The model also incorporates multimodal capabilities, allowing it to process and generate text alongside images, which expands its utility in creative and analytical tasks. In practical applications, Qwen3.6-35B-A3B excels in complex problem solving, delivering accurate answers while maintaining low latency and efficient memory usage, as shown in the following technical overview.
| Parameters | 35 B |
| Context Length | 128K tokens |
| Training Data | Web‑scale + academic corpora |
| Peak FLOPs | ≈2.1×10^20 |
| Model Type | Autoregressive transformer with A3B blocks |
- Setup utility configuring modern multi-head attention flags for backends
- How to Launch Qwen3.6-35B-A3B PC with NPU No-Internet Version 5-Minute Setup Windows
- Script downloading optimized tokenizers designed specifically for complex localized languages
- Full Deployment Qwen3.6-35B-A3B on Your PC FREE
- Installer setting up SillyTavern interface optimized for KoboldCPP 2.20+ background processing nodes
- Qwen3.6-35B-A3B Locally via LM Studio No Python Required For Beginners
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